Time
- Reading Group: Thursday 12PM - 1PM, On Zoom (link sent in weekly email)
- Current Schedule (Spring 2021)
- Previous Meetings
- Mailing List
- Presenter
- Related Links
- FAQ
- About Us
- Suggested Papers
Please let Lowell know what paper you are going to present and provide your summary by the end of the day on the Tuesday before your presentation.
This semester we will have one presenter each week. Presentation duration is left up to the presenter (as long as it spans no more than one hour).
| Date | Presenters | Topic |
|---|---|---|
| 02/11 | Badour AlBahar | Pose-Guided Human Animation from a Single Image in the Wild [Yoon et al.] |
| 02/18 | - | Meeting Canceled (Inclement Weather) |
| 02/25 | - | No Meeting (Spring Break Day) |
| 03/04 | Xuan Luo | Computational Time Machine (Invited Talk) |
| 03/11 | - | No Meeting (ICCV) |
| 03/18 | - | No Meeting (ICCV) |
| 03/25 | Yuliang Zou Yue Feng |
Learning Transferable Visual Models From Natural Language Supervision [Radford et al.] Learning Continuous Image Representation with Local Implicit Image Function [Chen et al.] |
| 04/01 | Qitong Wang | UniT: Multimodal Multitask Learning with a Unified Transformer [Hu and Singh] |
| 04/08 | Yiran Xu | Labels4Free: Unsupervised Segmentation using StyleGAN |
| 04/15 | Eric Bianchi Lowell Weissman |
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation [Wu et al.] CURL: Contrastive Unsupervised Representations for Reinforcement Learning [Srinivas et al.] |
| 04/22 | Cong Chen | Point Transformer [Zhao et al.] |
| 04/29 | Chen Gao Xiaolong Li |
Hierarchical Motion Understanding via Motion Programs [Kulal et al.] Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs [Pan et al.] |
| 05/06 | Erika Lu | Omnimatte: Associating Objects and Their Effects in Video [Lu et al.] (Invited Author) |
We use Google Groups to manage the mailing list: (link). You can click "Join Group" when you sign in with your Virginia Tech account.
Please let Lowell know what paper you are going to present and provide your summary by the end of the day on the Tuesday before your presentation. Also, please send your slides or a link to them once you finish preparing them.
- Badour AlBahar
- Eric Bianchi
- Cong Chen
- Yue Feng
- Chen Gao
- Xiaolong Li
- Erika Lu
- Xuan Luo
- Esther Robb
- Qitong Wang
- Lowell Weissman
- Yiran Xu
- Yuliang Zou
Please contact Lowell (lowell6 -at- vt.edu) if you want to be a presenter this semester!
- MIT Vision Seminars
- UIUC Vision Lunch
- UT-Austin CV Reading Group
- CMU VASC Seminar Series
- CMU ML Reading Group
- Advanced Computer Vision (Jia-Bin Huang, Virginia Tech)
- Object and Activity Recognition Seminar (Trevor Darrell, UC Berkeley)
- Visual Learning and Recognition (Abhinav Gupta, CMU)
- Visual Recognition (Kristen Grauman, UT Austin)
- Advanced Computer Vision (Devi Parikh, Georgia Tech)
- Cutting-Edge Trends in Deep Learning and Recognition (Svetlana Lazebnik, UIUC)
The presenters' order is generated from the presenters' list in a FIFO manner (but the list is initially generated randomly).
Yourself.
As early as possible, let the group organizer (lowell6 -at- vt.edu) know about your situation. Also contact other presenters to see if they are willing to swap dates with you.
Then ask by sending an e-mail to the mailing list (vt-vision-and-learning-reading-group-g -at- vt.edu).
We are a group that meets about once a week to discuss one to three relevant papers. For every meeting, one person will be in charge of selecting the paper(s) for that meeting, thoroughly understanding the work, and leading the discussion (either informally or via a presentation, whatever the leader thinks is best). The rest of the members will read over the paper(s) beforehand to gain a basic idea of the work. Then, on the day of the meeting, we will discuss the strengths, weaknesses, and techniques of the paper(s).
NOTE: Please tell the group organizer (lowell6 -at- vt.edu) which paper(s) you are going to present, and summarize the paper/talk in several sentences, before the Tuesday of that week.
We will be reading papers appearing in the leading computer vision conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia) and machine learning conferences (e.g., NeurIPS, ICML, ICLR, UAI, AAAI, IJCAI, AISTATS). Members are free to choose which paper(s) they will present (we can also provide suggestions), thus the specific topics will vary based on the members' interests.
We are open to everyone who is interested, whether you are an undergrad, a grad student, or VT staff, regardless of department. Anyone else in the Blacksburg area is also welcome. As long as you are interested in learning more about the fields (by reading cutting-edge research papers), you are welcome to join.
We maintain a pool of suggested papers here.
Credits: The contents and formats were modified from VT CVMLP Reading Group.